Real World Interactive Learning

Tuesday, December 12, 2017 - 18:30
NYC Women in Machine Learning & Data Science
New York


6:30pm – 7:00pm Mingling and snacks

7:00pm – 8:00pm Real World Interactive Learning by John Langford

8:00pm – 8:30pm Networking

John Langford is a machine learning research scientist, a field which he says "is shifting from an academic discipline to an industrial tool". He is the author of the and the principal developer of Vowpal Wabbit. John works at Microsoft Research New York, of which he was one of the founding members, and was previously affiliated with Yahoo! Research, Toyota Technological Institute, and IBM's Watson Research Center. He studied Physics and Computer Science at the California Institute of Technology, earning a double bachelor's degree in 1997, and received his Ph.D. in Computer Science from Carnegie Mellon University in 2002. He was the program co-chair for the 2012 International Conference on Machine Learning.

John will discuss a multiyear (and multiperson) research project to create real world interactive learning from the foundational theory to a standardized system which anyone can use with several deployments.  These techniques and tools expand the scope of machine learning solvable problems to include many new interactive contextual control problems such as personalized news, user interpretation, and wellness.

NY Microsoft Office

11 Times Square, (Microsoft Entrance on 8th Ave. between 41st and 42nd Streets)